Contribute to building scalable backend systems and participate in service operation activities to ensure reliable and high-performing distributed services.
About this role
Appier's Advertising Cloud Optimization team builds the core machine-learning algorithms behind campaign efficiency and advertiser return on investment, running on a programmatic platform that handles multi-million queries per second. The Staff/Senior Machine Learning Scientist role sits in this team in Tokyo, and the position is open to overseas candidates, with Appier's Japan office providing visa sponsorship.
The scientist designs, implements and productionizes machine-learning models for bidding, pricing and personalized content recommendation.
Applicants need a bachelor's degree in computer science, mathematics, electrical engineering or a related field (a master's or PhD is preferred), at least four years of industry experience in ad tech with a focus on performance optimization, and proven applied machine-learning work, particularly click-through-rate prediction and recommendation systems. Proficiency in Python and frameworks such as PyTorch or TensorFlow is required, along with the ownership to lead projects end to end.
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